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» Learning to rank for information retrieval (LR4IR 2008)
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BMCBI
2008
129views more  BMCBI 2008»
15 years 6 months ago
Prediction of the outcome of preoperative chemotherapy in breast cancer using DNA probes that provide information on both comple
Background: DNA microarray technology has emerged as a major tool for exploring cancer biology and solving clinical issues. Predicting a patient's response to chemotherapy is...
René Natowicz, Roberto Incitti, Euler Guima...
ACISICIS
2008
IEEE
16 years 20 days ago
Lessons Learned from Implementing WS-Coordination and WS-AtomicTransaction
This paper presents the design and implementation of a transaction service that complies with the WS-Coordination and WS-AtomicTransaction standards. Such service builds upon XAct...
Ivan Silva Neto, Francisco Reverbel
AIRWEB
2007
Springer
16 years 11 days ago
Computing Trusted Authority Scores in Peer-to-Peer Web Search Networks
Peer-to-peer (P2P) networks have received great attention for sharing and searching information in large user communities. The open and anonymous nature of P2P networks is one of ...
Josiane Xavier Parreira, Debora Donato, Carlos Cas...
WWW
2007
ACM
16 years 6 months ago
Predicting clicks: estimating the click-through rate for new ads
Search engine advertising has become a significant element of the Web browsing experience. Choosing the right ads for the query and the order in which they are displayed greatly a...
Matthew Richardson, Ewa Dominowska, Robert Ragno
TKDE
2008
195views more  TKDE 2008»
15 years 6 months ago
Learning a Maximum Margin Subspace for Image Retrieval
One of the fundamental problems in Content-Based Image Retrieval (CBIR) has been the gap between low-level visual features and high-level semantic concepts. To narrow down this gap...
Xiaofei He, Deng Cai, Jiawei Han